{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 问题描述\n",
    "#### 一、 数据说明： Pima Indians Diabetes Data Set（皮马印第安人糖尿病数据集） 根据现有的医疗信息预测5年内皮马印第安人糖尿病发作的概率。\n",
    "- 数据链接：https://archive.ics.uci.edu/ml/datasets/Pima+Indians+Diabetes\n",
    "p.s.: Kaggle也有一个Practice Fusion Diabetes Classification任务，可以试试:)\n",
    "https://www.kaggle.com/c/pf2012-diabetes\n",
    "- 解题提示\n",
    "\n",
    "1) 文件说明\n",
    "pima-indians-diabetes.csv：数据文件\n",
    "\n",
    "2) 字段说明\n",
    "- 数据集共9个字段:\n",
    "- pregnants：怀孕次数\n",
    "- Plasma_glucose_concentration：口服葡萄糖耐量试验中2小时后的血浆葡萄糖浓度\n",
    "- blood_pressure：舒张压，单位:mm Hg\n",
    "- Triceps_skin_fold_thickness：三头肌皮褶厚度，单位：mm\n",
    "- serum_insulin：餐后血清胰岛素，单位:mm\n",
    "- BMI：体重指数（体重（公斤）/ 身高（米）^2）\n",
    "- Diabetes_pedigree_function：糖尿病家系作用\n",
    "- Age：年龄\n",
    "- Target：标签， 0表示不发病，1表示发病"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "# 导入工具包\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
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       "    .dataframe tbody tr th {\n",
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       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>pregnants</th>\n",
       "      <th>Plasma_glucose_concentration</th>\n",
       "      <th>blood_pressure</th>\n",
       "      <th>Triceps_skin_fold_thickness</th>\n",
       "      <th>serum_insulin</th>\n",
       "      <th>BMI</th>\n",
       "      <th>Diabetes_pedigree_function</th>\n",
       "      <th>Age</th>\n",
       "      <th>Target</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>0</td>\n",
       "      <td>6</td>\n",
       "      <td>148</td>\n",
       "      <td>72</td>\n",
       "      <td>35</td>\n",
       "      <td>0</td>\n",
       "      <td>33.6</td>\n",
       "      <td>0.627</td>\n",
       "      <td>50</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>85</td>\n",
       "      <td>66</td>\n",
       "      <td>29</td>\n",
       "      <td>0</td>\n",
       "      <td>26.6</td>\n",
       "      <td>0.351</td>\n",
       "      <td>31</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2</td>\n",
       "      <td>8</td>\n",
       "      <td>183</td>\n",
       "      <td>64</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>23.3</td>\n",
       "      <td>0.672</td>\n",
       "      <td>32</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>89</td>\n",
       "      <td>66</td>\n",
       "      <td>23</td>\n",
       "      <td>94</td>\n",
       "      <td>28.1</td>\n",
       "      <td>0.167</td>\n",
       "      <td>21</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>137</td>\n",
       "      <td>40</td>\n",
       "      <td>35</td>\n",
       "      <td>168</td>\n",
       "      <td>43.1</td>\n",
       "      <td>2.288</td>\n",
       "      <td>33</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   pregnants  Plasma_glucose_concentration  blood_pressure  \\\n",
       "0          6                           148              72   \n",
       "1          1                            85              66   \n",
       "2          8                           183              64   \n",
       "3          1                            89              66   \n",
       "4          0                           137              40   \n",
       "\n",
       "   Triceps_skin_fold_thickness  serum_insulin   BMI  \\\n",
       "0                           35              0  33.6   \n",
       "1                           29              0  26.6   \n",
       "2                            0              0  23.3   \n",
       "3                           23             94  28.1   \n",
       "4                           35            168  43.1   \n",
       "\n",
       "   Diabetes_pedigree_function  Age  Target  \n",
       "0                       0.627   50       1  \n",
       "1                       0.351   31       0  \n",
       "2                       0.672   32       1  \n",
       "3                       0.167   21       0  \n",
       "4                       2.288   33       1  "
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 读入数据.CSV文件\n",
    "data = pd.read_csv(\"pima-indians-diabetes.csv\")\n",
    "data.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['pregnants', 'Plasma_glucose_concentration', 'blood_pressure',\n",
       "       'Triceps_skin_fold_thickness', 'serum_insulin', 'BMI',\n",
       "       'Diabetes_pedigree_function', 'Age'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "featrue_names = data.drop(['Target'],axis=1).columns\n",
    "featrue_names"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 768 entries, 0 to 767\n",
      "Data columns (total 9 columns):\n",
      "pregnants                       768 non-null int64\n",
      "Plasma_glucose_concentration    768 non-null int64\n",
      "blood_pressure                  768 non-null int64\n",
      "Triceps_skin_fold_thickness     768 non-null int64\n",
      "serum_insulin                   768 non-null int64\n",
      "BMI                             768 non-null float64\n",
      "Diabetes_pedigree_function      768 non-null float64\n",
      "Age                             768 non-null int64\n",
      "Target                          768 non-null int64\n",
      "dtypes: float64(2), int64(7)\n",
      "memory usage: 54.1 KB\n"
     ]
    }
   ],
   "source": [
    "data.info()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "- 无缺失值"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>pregnants</th>\n",
       "      <th>Plasma_glucose_concentration</th>\n",
       "      <th>blood_pressure</th>\n",
       "      <th>Triceps_skin_fold_thickness</th>\n",
       "      <th>serum_insulin</th>\n",
       "      <th>BMI</th>\n",
       "      <th>Diabetes_pedigree_function</th>\n",
       "      <th>Age</th>\n",
       "      <th>Target</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>count</td>\n",
       "      <td>768.000000</td>\n",
       "      <td>768.000000</td>\n",
       "      <td>768.000000</td>\n",
       "      <td>768.000000</td>\n",
       "      <td>768.000000</td>\n",
       "      <td>768.000000</td>\n",
       "      <td>768.000000</td>\n",
       "      <td>768.000000</td>\n",
       "      <td>768.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>mean</td>\n",
       "      <td>3.845052</td>\n",
       "      <td>120.894531</td>\n",
       "      <td>69.105469</td>\n",
       "      <td>20.536458</td>\n",
       "      <td>79.799479</td>\n",
       "      <td>31.992578</td>\n",
       "      <td>0.471876</td>\n",
       "      <td>33.240885</td>\n",
       "      <td>0.348958</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>std</td>\n",
       "      <td>3.369578</td>\n",
       "      <td>31.972618</td>\n",
       "      <td>19.355807</td>\n",
       "      <td>15.952218</td>\n",
       "      <td>115.244002</td>\n",
       "      <td>7.884160</td>\n",
       "      <td>0.331329</td>\n",
       "      <td>11.760232</td>\n",
       "      <td>0.476951</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>min</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.078000</td>\n",
       "      <td>21.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>25%</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>99.000000</td>\n",
       "      <td>62.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>27.300000</td>\n",
       "      <td>0.243750</td>\n",
       "      <td>24.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>50%</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>117.000000</td>\n",
       "      <td>72.000000</td>\n",
       "      <td>23.000000</td>\n",
       "      <td>30.500000</td>\n",
       "      <td>32.000000</td>\n",
       "      <td>0.372500</td>\n",
       "      <td>29.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>75%</td>\n",
       "      <td>6.000000</td>\n",
       "      <td>140.250000</td>\n",
       "      <td>80.000000</td>\n",
       "      <td>32.000000</td>\n",
       "      <td>127.250000</td>\n",
       "      <td>36.600000</td>\n",
       "      <td>0.626250</td>\n",
       "      <td>41.000000</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>max</td>\n",
       "      <td>17.000000</td>\n",
       "      <td>199.000000</td>\n",
       "      <td>122.000000</td>\n",
       "      <td>99.000000</td>\n",
       "      <td>846.000000</td>\n",
       "      <td>67.100000</td>\n",
       "      <td>2.420000</td>\n",
       "      <td>81.000000</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "        pregnants  Plasma_glucose_concentration  blood_pressure  \\\n",
       "count  768.000000                    768.000000      768.000000   \n",
       "mean     3.845052                    120.894531       69.105469   \n",
       "std      3.369578                     31.972618       19.355807   \n",
       "min      0.000000                      0.000000        0.000000   \n",
       "25%      1.000000                     99.000000       62.000000   \n",
       "50%      3.000000                    117.000000       72.000000   \n",
       "75%      6.000000                    140.250000       80.000000   \n",
       "max     17.000000                    199.000000      122.000000   \n",
       "\n",
       "       Triceps_skin_fold_thickness  serum_insulin         BMI  \\\n",
       "count                   768.000000     768.000000  768.000000   \n",
       "mean                     20.536458      79.799479   31.992578   \n",
       "std                      15.952218     115.244002    7.884160   \n",
       "min                       0.000000       0.000000    0.000000   \n",
       "25%                       0.000000       0.000000   27.300000   \n",
       "50%                      23.000000      30.500000   32.000000   \n",
       "75%                      32.000000     127.250000   36.600000   \n",
       "max                      99.000000     846.000000   67.100000   \n",
       "\n",
       "       Diabetes_pedigree_function         Age      Target  \n",
       "count                  768.000000  768.000000  768.000000  \n",
       "mean                     0.471876   33.240885    0.348958  \n",
       "std                      0.331329   11.760232    0.476951  \n",
       "min                      0.078000   21.000000    0.000000  \n",
       "25%                      0.243750   24.000000    0.000000  \n",
       "50%                      0.372500   29.000000    0.000000  \n",
       "75%                      0.626250   41.000000    1.000000  \n",
       "max                      2.420000   81.000000    1.000000  "
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0, 0.5, 'count of cuurrences')"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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aaMOqurSqNlfV5rVr1w5cliStLLMOhXvnh4Xa857WPwecNLXdeuDuGdcmSSverEPhGmBLW94CXD3Vf2E7C+ks4JH5YSZJ0uz0uh3noUjyu8BrgOOTzAHvB34ZuCLJRcBdwAVt888DbwJ2AY8B7xiqLknS/g0WClX1E/tZdc4C2xZw8VC1SJL6WSoHmiVJS4ChIEnqGAqSpI6hIEnqGAqSpI6hIEnqGAqSpI6hIEnqGAqSpI6hIEnqGAqSpI6hIEnqGAqSpI6hIEnqGAqSpI6hIEnqGAqSpI6hIEnqGAqSpI6hIEnqGAqSpI6hIEnqGAqSpI6hIEnqGAqSpI6hIEnqGAqSpI6hIEnqGAqSpI6hIEnqGAqSpI6hIEnqGAqSpM6SCoUkb0jyrSS7klwydj2StNIsmVBIchTwMeCNwCnATyQ5ZdyqJGllWTKhAJwJ7KqqO6rqr4BPA+eOXJMkrShHj13AlHXA7qn2HPD39t0oyVZga2t+N8m3ZlDbSnE8cP/YRSwF+dCWsUvQk/lvc977czje5YX7W7GUQmGhb1pP6ai6FLh0+HJWniQ7q2rz2HVI+/Lf5uwspeGjOeCkqfZ64O6RapGkFWkphcKfApuSnJzkGOBtwDUj1yRJK8qSGT6qqr1J3gX8AXAUcHlVfWPkslYah+W0VPlvc0ZS9ZRhe0nSCrWUho8kSSMzFCRJHUNBTi+iJSvJ5Un2JLll7FpWCkNhhXN6ES1xnwTeMHYRK4mhIKcX0ZJVVV8EHhy7jpXEUNBC04usG6kWSSMzFNRrehFJK4OhIKcXkdQxFOT0IpI6hsIKV1V7gfnpRW4DrnB6ES0VSX4X+GPgJUnmklw0dk3LndNcSJI67ilIkjqGgiSpYyhIkjqGgiSpYyhIkjqGgrQfSVYn+Rcz+JzXJDl76M+R+jAUpP1bDfQOhUwcyv+p1wCGgpYEr1OQ9iPJ/Iyx3wKuB04F1gDPAP5NVV2dZCPw39v6VwLnAa8Hfp7JdCG3A49X1buSrAV+E9jQPuJ9wF8ANwJPAPcB766q/zWL7yctxFCQ9qP94H+uqv5OkqOBv1lV30lyPJMf8k3AC4E7gLOr6sYkLwC+DJwBPApcB3ythcLvAB+vqi8l2QD8QVW9NMkHgO9W1Ydm/R2lfR09dgHSESLALyV5NfB9JtOLn9DWfbuqbmzLZwI3VNWDAEn+K/DDbd3rgVOSbmLa5yR59iyKl/oyFKR+3g6sBV5eVX+d5E7g2Lbue1PbLTQV+bxVwCur6v9Nd06FhDQ6DzRL+/coMP+X/HOBPS0QXstk2GghfwL8gyRr2pDTP5la94dMJh8EIMnpC3yONCpDQdqPqnoA+KN20/jTgc1JdjLZa/jmfl7zF8AvAV8B/idwK/BIW/2e9h43J7kVeGfr/yzw40m+muRHBvtCUg8eaJYOsyQ/VFXfbXsKVwGXV9VVY9cl9eGegnT4fSDJV4FbgP8DfGbkeqTe3FOQJHXcU5AkdQwFSVLHUJAkdQwFSVLHUJAkdf4/vES/hM3dyl0AAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.countplot(data['Target'])\n",
    "plt.xlabel('target')\n",
    "plt.ylabel('count of cuurrences')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0, 0.5, 'Number of currences')"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.countplot(data['BMI'])\n",
    "plt.xlabel('values')\n",
    "plt.ylabel('Number of currences')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 360x144 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 360x144 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 360x144 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 360x144 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 360x144 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 360x144 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 360x144 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 360x144 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "for i in range(len(featrue_names)):\n",
    "    plt.subplots(figsize=(5,2)),sns.violinplot(data['Target'],data[featrue_names[i]]),plt.ylabel(featrue_names[i]),plt.xlabel('Target')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 特征之间相关系数"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0xbbb7a48388>"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x504 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "featrue_corr = data.corr().abs()\n",
    "plt.subplots(figsize=(10,7))\n",
    "sns.heatmap(featrue_corr,annot=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.5"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
